Reinforcement learning and stochastic optimization a unified framework for sequential decisions / Warren B Powell.

Author/creator Powell, Warren B., 1955-
Format Electronic
EditionFirst Edition.
Publication InfoHoboken, New Jersey : John Wiley & Sons, Inc, [2022]
Description1 online resource
Supplemental ContentFull text available from IEEE Xplore Wiley Data and Cybersecurity eBooks Library
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Abstract "The first step in sequential decision problems is to understand what decisions are being made. It is surprising how often it is that people faced with complex problems, which spans scientists in a lab to people trying to solve major health problems, are not able to identify the decisions they face. We then want to find a method for making decisions. There are at least 45 words in the English language that are equivalent to "method for making a decision," but the one we have settled on is policy. The term policy is very familiar to fields such as Markov decision processes and reinforcement learning, but with a much narrower interpretation than we will use. Other fields do not use the term at all. Designing effective policies will be the focus of most of this book. Even more subtle is identifying the different sources of uncertainty. It can be hard enough trying to identify potential decisions, but thinking about all the random events that might affect whatever it is that you are managing, whether it is reducing disease, managing inventories, or making investments, can seem like a hopeless challenge"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
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Technical detailsMode of access: World Wide Web
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Issued in other formPrint version: Powell, Warren B., 1955- Reinforcement learning and stochastic optimization First Edition. Hoboken, New Jersey : John Wiley & Sons, Inc, [2022] 9781119815037
Genre/formElectronic books.
LCCN 2021060405
ISBN9781119815068 (eBook)
ISBN9781119815044 (PDF)
ISBN9781119815051 (ePub)
ISBN(Hardback)